Skip to main content

Advertisement

Log in

Exploring the role of renewable energy and foreign and non-foreign patents on mitigating emissions: evidence for Tunisian economy

  • Research Article
  • Published:
Environmental Science and Pollution Research Aims and scope Submit manuscript

Abstract

This study investigates the relationships among renewable energies (RE), carbon dioxide (CO2) emissions, foreign direct investment (FDI), foreign and non-foreign patents (FP, NFP), and trade (TR) for the case of Tunisia using time series data spanning the period 1980–2017. The autoregressive distributed lags (ARDL) model approach of Pesaran et al. (J Appl Econ 16:289–326, 2001) and the causality of Granger are employed to explore the dynamic association between the underlined variables. The results from the long-run elasticities show that FDI and TR have negative and statistically significant impacts on RE, while NFP has a positive and statistically significant effect on the consumption of RE. Both FP and CO2 emission variables are insignificant in the long run. In the short run, there are no Granger causal links between RE and patents (FP and NFP), but we have one-way causality running from CO2 emissions to patents (FP and NFP). In the long run, there are bidirectional causalities between RE, NFP, and TR. The Tunisian authorities must impose more stringent environmental standards to attract foreign investments that are more respectful of the environment, and import and export cleaner. It is also necessary to encourage R&D and innovation which appear to be beneficial for the environment.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

Data availability

The datasets used during the current study are available from the corresponding or first author on reasonable request.

Notes

  1. For the FP value of the year 1982, we take the mean of the 2 years 1981 and 1983.

  2. The robustness of the VECM model is checked using residuals Portmanteau tests for autocorrelations. The results from the test revealed no problem of autocorrelation. The result is available upon request.

References

  • Ang JB (2009) CO2 emissions, research and technology transfer in China. Ecol Econ 68(10):2658–2665

    Article  Google Scholar 

  • Apergis N, Payne JE, Menyah K, Wolde-Rufael Y (2010) On the causal dynamics between emissions, nuclear energy, renewable energy, and economic growth. Ecol Econ 69(11):2255–2260

    Article  Google Scholar 

  • Bashir MA, Sheng B, Doğan B, Sarwar S, Shahzad U (2020) Export product diversification and energy efficiency: Empirical evidence from OECD countries. Struct Chang Econ Dyn 55:232–243

    Article  Google Scholar 

  • Ben Jebli M, Ben Youssef S (2015) The environmental Kuznets curve, economic growth, renewable and non-renewable energy, and trade in Tunisia. Renew Sust Energ Rev 47:173–185

    Article  Google Scholar 

  • Ben Youssef S (2011) Transboundary pollution and absorptive capacity. Environ Model Assess 16(2):205–211

    Article  Google Scholar 

  • Ben Youssef S (2020) Non-resident and resident patents, renewable and fossil energy, pollution, and economic growth in the USA. Environ Sci Pollut Res 27:40795–40810

    Article  Google Scholar 

  • Ben Youssef S, Zaccour G (2014) Absorptive capacity, R&D spillovers, emissions taxes and R&D subsidies. Strateg Behav Environ 4(1):41–58

    Article  Google Scholar 

  • Bretschger L, Lechthaler F, Rausch S, Zhang L (2017) Knowledge diffusion, endogenous growth, and the costs of global climate policy. Eur Econ Rev 93:47–72

    Article  Google Scholar 

  • Brown RL, Durbin J, Evans JM (1975) Techniques for testing the constancy of regression relations over time. J R Stat Soc Ser B 37:149–163

    Google Scholar 

  • Copeland BR, Taylor MS (2004) Trade, growth, and the environment. J Econ Lit 42(3):7–71

    Article  Google Scholar 

  • Costa-Campi MT, García-Quevedo J, Martínez-Ros E (2017) What are the determinants of investment in environmental R&D? Energy Policy 104(C):455–465

    Article  Google Scholar 

  • Dickey DA, Fuller WA (1979) Distribution of the estimators for autoregressive time series with a unit root. J Am Stat Assoc 74:427–431

    Google Scholar 

  • Dogan B, Deger O (2016) How globalization and economic growth affect energy consumption: panel data analysis in the sample of Brazil, Russia, India, China countries. Int J Energy Econ Policy 6(4):806–813

    Google Scholar 

  • Doğan B, Driha O, Lorente D, Shahzad U (2020) The mitigating effects of economic complexity and renewable energy on carbon emissions in developed countries. Sustain Dev 1:1–12

    Google Scholar 

  • Energy Information Administration (2020) International energy outlook. Accessed at: www.eia.gov/forecasts/aeo

  • Engle RF, Granger CWJ (1987) Co-integration and error correction: representation, estimation, and testing. Econometrica 55:251–276

    Article  Google Scholar 

  • Fan W, Hao Y (2020) An empirical research on the relationship amongst renewable energy consumption, economic growth and foreign direct investment in China. Renew Energy 146:598–609

    Article  Google Scholar 

  • Fatima T, Shahzad U, Cui L (2020) Renewable and nonrenewable energy consumption, trade and CO2 emissions in high emitter countries: does the income level matter? J Environ Plan Manag 0(0):1–25

    Google Scholar 

  • Ghisetti C, Pontoni F (2015) Investigating policy and R&D effects on environmental innovation: a meta-analysis. Ecol Econ 118:57–66

    Article  Google Scholar 

  • Giuliani E, Martinelli A, Rabellotti R (2016) Is co-invention expediting technological catch up? A study of collaboration between emerging country firms and EU inventors. World Dev 77:192–205

    Article  Google Scholar 

  • Grossman GM, Krueger AB (1991) Environmental impacts of a North American free trade agreement. NBER Working Paper No. 3914

  • Inoue E, Arimura TH, Nakano M (2013) A new insight into environmental innovation: does the maturity of environmental management systems matter? Ecol Econ 94:156–163

    Article  Google Scholar 

  • Jeong H, Moon JJ, Shin J (2017) The determinants of MNEs’ environmental R&D and the role of stakeholder pressure. Acad Manag Proc 2017(1):11708

    Article  Google Scholar 

  • Katila R (2000) Using patent data to measure innovation performance. Int J Bus Perform Manag 2:180–193

    Article  Google Scholar 

  • Kukla-Gryz A (2009) Economic growth, international trade and air pollution: a decomposition analysis. Ecol Econ 68(5):1329–1339

    Article  Google Scholar 

  • Mohamed H, Ben Jebli M, Ben Youssef S (2019) Renewable and fossil energy, terrorism, economic growth, and trade: evidence from France. Renew Energy 139:459–467

    Article  Google Scholar 

  • Pesaran MH, Pesaran B (1997) Working with Microfit 4.0: interactive econometric analysis. Oxford University Press, Oxford

    Google Scholar 

  • Pesaran MH, Shin Y (1999) An autoregressive distributed lag modelling approach to cointegration analysis. In: Strom S (ed) Chapter 11, Econometrics and Economic Theory in the 20th Century: The Ragnar Frisch Centennial Symposium. Cambridge University Press, Cambridge

    Google Scholar 

  • Pesaran MH, Smith RP (1998) Structural analysis of cointegrating VARs. J Econ Surv 12:471–505

    Article  Google Scholar 

  • Pesaran MH, Shin Y, Smith RJ (2001) Bounds testing approaches to the analysis of level relationships. J Appl Econ 16:289–326

    Article  Google Scholar 

  • Phillips PCB, Perron P (1988) Testing for a unit root in time series regression. Biometrika 75(2):335–346

    Article  Google Scholar 

  • Poyago-Theotoky JA (2007) The organization of R&D and environmental policy. J Econ Behav Organ 62(1):63–75

    Article  Google Scholar 

  • Rahmouni M, Yildizoglu M, Ayadi M (2011) Export behaviour and propensity to innovate in a developing country: the case of Tunisia (halshs-00608239; Working Papers). HAL. https://ideas.repec.org/p/hal/wpaper/halshs-00608239.html

  • Sadorsky P (2012) Energy consumption, output and trade in South America. Energy Econ 34:476–488

    Article  Google Scholar 

  • Scott JT (2005) Corporate social responsibility and environmental research and development. Struct Chang Econ Dyn 16(3):313–331

    Article  Google Scholar 

  • Shahzad U, Doğan B, Sinha A, Fareed Z (2021a) Does export product diversification help to reduce energy demand: exploring the contextual evidences from the newly industrialized countries. Energy 214:118881

    Article  Google Scholar 

  • Shahzad U, Lv Y, Doğan B, Xia W (2021b) Unveiling the heterogeneous impacts of export product diversification on renewable energy consumption: new evidence from G-7 and E-7 countries. Renew Energy 164:1457–1470

    Article  Google Scholar 

  • UNESCO Institute for Statistics (2016) How much does your country invest in R&D. Accessed at: http://uis.unesco.org/apps/visualisations/research-and-development-spending/#!lang=fr

  • World Bank (2019) Energy sector improvement project (P168273). Report No: PAD3220. Accessed at: http://documents1.worldbank.org/curated/en/296941561687292260/pdf/Tunisia-Energy-Sector-Improvement-Project.pdf

  • World Bank (2020) World Development Indicators. Accessed at: http://datatopics.worldbank.org/world-development-indicators/

  • World Data Atlas (2020) Data and statistics. Accessed at: https://knoema.com/atlas/Tunisia

  • Wurlod JD, Noailly J (2018) The impact of green innovation on energy intensity: an empirical analysis for 14 industrial sectors in OECD countries. Energy Econ 71:47–61

    Article  Google Scholar 

  • Yamazaki K, Capatina A, Bouzaabia R, Koçoğlu İ (2012) Cross-cultural issues related to open innovation in high-tech companies from Japan, Romania, Tunisia and Turkey. Rev Int Comp Manag 13:561–573

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Contributions

Sana Ghorbal: introduction, literature review, concept-building, data. Mehdi Ben Jebli: methods, analysis, and supervision. Slim BenYoussef: literature review, editing, discussion, conclusion, and implications.

Corresponding author

Correspondence to Mehdi Ben Jebli.

Ethics declarations

Ethics approval

Not applicable

Consent to participate

Not applicable

Consent for publication

Not applicable

Competing interests

The authors declare no competing interests.

Additional information

Responsible editor: Roula Inglesi-Lotz

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ghorbal, S., Ben Jebli, M. & Ben Youssef, S. Exploring the role of renewable energy and foreign and non-foreign patents on mitigating emissions: evidence for Tunisian economy. Environ Sci Pollut Res 28, 36018–36028 (2021). https://doi.org/10.1007/s11356-021-13108-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11356-021-13108-0

Keywords

JEL classification

Navigation